| Código: | 006.4 T38 2009 [Universidad Católica San Pablo] | | 100: | Theodoridis, Sergios | | 250: | 4ª ed. | | 245 | Pattern recognition | | 245c: | Koutroumbas, Konstantinos| 260: | Amsterdam: Elsevier Inc.: 2009: | 300: | xvii, 961 páginas; tabs.; figs. 24 cm. | | 020: | 9781597492720 | | 500: | F.I. 30/03/2012 | | 650: | METODOS ESPECIALES DEL COMPUTADOR | | 653 | Metodos Especiales del Computador - Sistema de reconocimeinto de patrones | | |
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| Theodoridis, Sergios. Pattern recognition. --4ª ed.. --Amsterdam: Elsevier Inc.: 2009. # Ingreso:1008823 xvii, 961 páginas; tabs.; figs..24 cm..
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| CONTENTS Preface CHAPTER 1. Introduction CHAPTER 2. Classifiers Based on Bayes Decision Theory CHAPTER 3. Linear Classifiers CHAPTER 4. Nonlinear Classifiers CHAPTER 5. Feature Selection CHAPTER 6. Feature Generation I: Data Transformation and Dimensionality Reduction CHAPTER 7. Feature Generation II CHAPTER 8. Template Matching CHAPTER 9. Context-Dependent Classification CHAPTER 10. Supervised Learning: The Epilogue CHAPTER 11. Clustering: Basic Concepts CHAPTER 12. Clustering Algorithms I: Sequential Algorithms CHAPTER 13. Clustering Algorithms II: Hierarchical Algorithms CHAPTER 14. Clustering Algorithms III: Schemes Based on Function Optimization CHAPTER 15. Clustering Algorithms IV CHAPTER 16. Cluster Validity Appendix A Hints from Probability and Statistics Appendix B Linear Algebra Basics Appendix C Cost Function Optimization Appendix D Basic Definitions from Linear Systems Theory Index |
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Reserva | | 1008823 | 006.4 T38 2009 | Universidad Católica San Pablo | Segundo piso estanteria abierta | Original | 1 | Disponible |
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